Create README.md
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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- amazon_reviews_multi
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metrics:
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- accuracy
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model-index:
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- name: electricidad-small-finetuned-amazon-review-classification
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: amazon_reviews_multi
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type: amazon_reviews_multi
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args: es
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.5832
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# electricidad-small-finetuned-amazon-review-classification
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This model is a fine-tuned version of [mrm8488/electricidad-small-discriminator](https://huggingface.co/mrm8488/electricidad-small-discriminator) on the amazon_reviews_multi dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9506
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- Accuracy: 0.5832
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 1.0258 | 1.0 | 6250 | 1.0209 | 0.5502 |
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| 0.9668 | 2.0 | 12500 | 0.9960 | 0.565 |
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| 0.953 | 3.0 | 18750 | 0.9802 | 0.5704 |
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| 0.9201 | 4.0 | 25000 | 0.9831 | 0.567 |
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| 0.902 | 5.0 | 31250 | 0.9814 | 0.5672 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.10.0+cu111
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- Datasets 1.18.4
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- Tokenizers 0.11.6
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